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Autonomous Systems Engineer

4 years

0 Lacs

Hyderabad Telangana India

Posted:1 month ago| Platform: Linkedin logo

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Skills Required

robotics controls estimation software design localization fusion planning graphs odometry vision synchronization latency interface uart tracking constraints integration ros architecture diagnostics logic lidar analysis grid segmentation stack cmake solver numpy sim rviz rtos mechatronics filtering linux development deployment code power

Work Mode

On-site

Job Type

Full Time

Job Description

🧠

About the Role

We are looking for an

Autonomous Systems Engineer

with strong experience in robotics, controls, estimation, and embedded software. This is a

hands-on role

where you'll design, implement, and deploy autonomy stacks for UGVs, working across

localization, control, sensor fusion, motion planning, and real-time deployment

.Your work will be used in the field, integrated into platforms that navigate unstructured environments autonomously.🔧

What You’ll Work On-

🧭

Localization & Sensor Fusion

  • Implement EKF, UKF, or factor graphs to fuse IMU, wheel odometry, GPS (RTK/L1), magnetometer, and vision-based odometry
  • Real-time dead-reckoning and pose estimation
  • Handle time synchronization, sensor latency, and covariance propagation
🎯

Control Systems

  • Design PID, LQR, and hybrid control architectures for skid-steer / Ackermann platforms
  • Interface via CAN, UART, or shared memory with low-level firmware
  • Trajectory tracking using spline-based and discrete path followers
🛤

Motion Planning

  • Implement planners like A*, D*, RRT*, DWA, and spline-based methods
  • Integrate costmaps, dynamic constraints, and real-time path generation
  • Develop local obstacle avoidance using potential/vector fields
🤖

Robot Modeling

  • Derive forward/inverse kinematics and dynamic models (Newton-Euler, Lagrangian)
  • Handle slip, disturbance modeling, and Jacobian computation
  • Manage SE(3) transforms across body, sensor, map, and ENU/NED frames
⚙️

System Integration (ROS 2)

  • Develop modular autonomy software in ROS 2 using nodes, messages, actions
  • Build architecture for localization, control, planning, and perception
  • Integrate diagnostics, failsafe logic, and heartbeat systems
👁️

Perception (Preferred)

  • Use LiDAR, stereo, depth, or event cameras for terrain analysis and obstacle detection
  • Develop point cloud pipelines (e.g., voxel grid, NDT) and basic semantic segmentation
🧰

Tech Stack & Tools

  • Languages: C++17/20 (multi-threading, hardware abstraction), Python
  • Frameworks: ROS 2 (rclcpp, nav2), CMake, colcon, DDS
  • Libraries: Eigen, Sophus, Ceres Solver, NumPy/SciPy
  • Sim & Debug: RViz, Gazebo, Isaac Sim, rosbag, custom loggers
  • Hardware: Jetson, STM32, RTOS, CAN, SPI, I2C
✅

What You Bring

  • B.Tech / M.Tech / Ph.D. in Robotics, Mechatronics, Controls, or CS/EE with robotics specialization
  • 4+ years of hands-on experience in real-world robot autonomy
  • Strong fundamentals in:
Kinematics & Dynamics
Estimation & FilteringFeedback & Motion ControlC++ and Linux-based robotics development
  • Proven deployment on physical platforms (not just simulations)
🎯

Why Join Us?

  • Work at the frontier of autonomous mobility
  • Own your systems end-to-end, from design to deployment
  • Collaborate with a passionate, tight-knit robotics team
  • See your code power real UGVs in live environments

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